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Computer Vision for AI Professionals: Basic to Pro

Learn the latest techniques in computer vision with Convolutional Neural Network and Deep Learning!

Bestseller 845+ Learners

Created By Peter Henstock,+1

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  • Expert-Taught Videos

  • Guided Hands-On Exercises

  • Outcome Focus

  • Auto-Graded Assessments

  • Cloud Labs

  • Recall Quizzes

  • Real-Time Insights

Starts at

100% Money-Back Guarantee

This Course is Not Available in your region

This Course includes:

  • 5 Hours of On-Demand Videos
  • 22 Guided Hands-On Exercises
  • 5 Auto-Graded Assessments
  • 3 Assignments
  • 13 Recall Quizzes
  • 5 Ebooks

Training for Teams of 5+?

Transform your workforce with access to KnowledgeHut's top-rated courses.

    Starts at

    100% Money-Back Guarantee

    This Course is Not Available in your region

    This Course includes:

    • 5 Hours of On-Demand Videos
    • 22 Guided Hands-On Exercises
    • 5 Auto-Graded Assessments
    • 3 Assignments
    • 13 Recall Quizzes
    • 5 Ebooks

    Training for Teams of 5+?

    Transform your workforce with access to KnowledgeHut's top-rated courses.

    What You Will Learn

    • Get an overview of Image Processing and explore the Types of Images
    • Learn to create colorful histograms and get introduced to Intensity Transforms and Gamma.
    • Gain an understanding of Softmax function and the challenges in image classification.
    • Understand Edge Detection, Shape Detection, and Corner Detection.
    • Learn Deep Learning techniques to conduct effective image recognition.
    • Learn to use YOLO and gain a foundational understanding of Segmentation.
    Show More

    KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, assignments, and more.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Hands-On with Cloud Labs

    A fully-provisioned developer environment where you can practice your code right in your browser.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Curriculum

    Video preview 1.

    Learning Objective:

    Get introduced to Image Processing, explore the Types of Images, and get started with Blending, Convolution, and Edge Detection 

    Topics Play Video
    • Introduction to Image Processing 
    • Digital Image Processing 
    • Types of Images 
    • Coordinate Schemes and RGB
    • Other Color Schemes 
    • Histogram and Statistics 
    • Intensity Transforms and Gamma
    • Blending 
    • Convolution 
    • Edge Detection 
    • Smoothing and Sharpening 
    • Morphological Filters 
    Video preview 2.

    Learning Objective:

    Learn how to work with the Softmax function and the challenges in image classification, along with imaging workflow. 

    Topics Play Video
    • Challenges in Image Classification
    • Traditional Imaging Workflow 
    • Deep Learning Components for Feedforward Networks
    • Deep Learning Function and Universal Approximation 
    • Softmax Function 
    • Issues with Feed Forward Size 
    • Bias-Variance and Overfitting 
    • Plot Model History 
    • Save and Load Models  
    Video preview 3.

    Learning Objectives:

    Learn all about CNN color dimensions, multiple channels and outputs and putting CNN components together.

    Topics Play Video
    • Feedforward Challenges and Rise of CNN
    • Convolutions for CNNs
    • Multiple Channels and Outputs in CNNS 
    • CNN Dimensions-Color 
    • Max Pooling 
    • Putting the CNN Components Together
    • CFAR 10 CNN
    • CFAR 10 CNN with TensorFlow Datasets 
    Video preview 4.

    Learning Objectives:

    Learn all about data augmentation, affine transformations, and transfer learning and dive into the future of Deep Learning.

    Topics Play Video
    • Data Augmentation 
    • Affine Transformations 
    • Transfer Learning 
    • More on Transfer Learning 
    • Transfer Learning Implementation
    • Different Architectures for Transfer Learning 
    • Future of Deep Learning 
    Video preview 5.

    Learning Objectives:

    Learn all about segmentation with Thresholding and Clustering along with the challenges with classifying multiple objects. 

    Topics Play Video
    • Segmentation
    • Segmentation With Thresholding 
    • Segmentation With Clustering 
    • Segmentation With CNN
    • Segmentation With U-Net 
    • Image Segmentation With U-Net 
    • U-Net Model
    • Object Localization 
    • Multiple Objects Classification Challenges 
    • YOLO 

    Prerequisites

    • Experience with image recognition, machine learning, and Edge AI is beneficial, but not mandatory.
    • Prior knowledge of networking and communication, deep learning, and AI is not a must but would be beneficial.

    What Our Learners Are Saying

    Really impressed with immersive learning that helped me to improve my conceptual knowledge of AI

    N
    Nitin Garg

    Computer Vision Engineer

    The videos are very well structured and beginner-friendly. It helped me get critical concepts of AI with real-life examples.

    N
    Nathan Gillespie

    AI Engineer

    Helped me to ace important concepts of AI from scratch. The on-demand videos helped me to learn anywhere and anytime.

    H
    Hamilton Marsh

    Software Engineer

    When I decided to do an AI course, I did not expect to enjoy the whole experience and it has inspired me to learn more.

    P
    Peter Bratts

    AI Specialist

    Researched a lot and then opted for this course. This is indeed the best course for upskilling with AI concepts.

    T
    Tom Cooper

    Project Manager

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Hands-On with Cloud Labs

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Lifetime Access to Courseware

    Course Advisor

    Peter Henstock
    Peter Henstock

    AI/ML Director

    Peter Henstock is a Ph.D. in Computer Science specializing in AI-ML. He guides Pfizer's AI strategy and has developed ~30 novel visualization and analytical tools in use at Pfizer. He teaches Harvard's Master's Software Engineering ML and Data Mining.

    Rashmi Banthia
    Rashmi Banthia

    Data Scientist

    Rashmi Banthia is a Data Scientist and a Teaching Fellow at Harvard University who comes with 8+ years of experience and is proficient in Natural Language Processing, Machine Learning, and Data Science.

    Course Advisor

    Peter Henstock is a Ph.D. in Computer Science specializing in AI-ML. He guides Pfizer's AI strategy and has developed ~30 novel visualization and analytical tools in use at Pfizer. He teaches Harvard's Master's Software Engineering ML and Data Mining.

    Peter Henstock
    Peter Henstock

    AI/ML Director

    Rashmi Banthia is a Data Scientist and a Teaching Fellow at Harvard University who comes with 8+ years of experience and is proficient in Natural Language Processing, Machine Learning, and Data Science.

    Rashmi Banthia
    Rashmi Banthia

    Data Scientist

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this online course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    KnowledgeHut’s online courses is well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.

      You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy. 

      Please make sure that your computer meets the following software and system requirements: 

      • Software Requirements: Internet browser
      • System Requirements: Windows or equivalent environment with Internet browser and high-speed Internet connectivity.

      Yes, it does! In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. Refer to our Online Self-Paced Courses Refund Policy for more details.

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